Point-of-care SERS platforms: integrating microfluidics and machine learning for disease screening

Key Points

• The central aim is to explore the effectiveness of integrating microfluidics and machine learning in SERS platforms for disease screening.
• Utilized microfluidic SERS platforms for bioanalysis
• Integrated plasmonic elements for multiplexed biomarker detection
• Applied machine learning algorithms for data analysis
• Achieved ultrasensitive detection of biomarkers
• Enabled high-throughput analysis for faster diagnostics
• Demonstrated potential for clinical translation with improved bioanalytical performance